Gleb Tikhonov

2.6k total citations · 2 hit papers
19 papers, 1.4k citations indexed

About

Gleb Tikhonov is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Gleb Tikhonov has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecological Modeling, 7 papers in Nature and Landscape Conservation and 6 papers in Ecology. Recurrent topics in Gleb Tikhonov's work include Species Distribution and Climate Change (11 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Plant and animal studies (4 papers). Gleb Tikhonov is often cited by papers focused on Species Distribution and Climate Change (11 papers), Ecology and Vegetation Dynamics Studies (7 papers) and Plant and animal studies (4 papers). Gleb Tikhonov collaborates with scholars based in Finland, Norway and United States. Gleb Tikhonov's co-authors include Otso Ovaskainen, Nerea Abrego, David B. Dunson, Tomas Roslin, Anna Norberg, F. Guillaume Blanchet, Leo L. Duan, Øystein H. Opedal, Jari Oksanen and Aleksi Lehikoinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecology and Ecology Letters.

In The Last Decade

Gleb Tikhonov

17 papers receiving 1.3k citations

Hit Papers

How to make more out of community data? A conceptual fram... 2017 2026 2020 2023 2017 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gleb Tikhonov Finland 11 693 569 531 335 245 19 1.4k
Elizabeth J. Kleynhans Canada 8 637 0.9× 416 0.7× 252 0.5× 292 0.9× 206 0.8× 9 1.1k
Buntarou Kusumoto Japan 21 420 0.6× 607 1.1× 424 0.8× 485 1.4× 227 0.9× 56 1.2k
Ofer Steinitz Israel 9 769 1.1× 853 1.5× 599 1.1× 518 1.5× 206 0.8× 9 1.5k
Kara A. Moore United States 9 689 1.0× 838 1.5× 493 0.9× 488 1.5× 256 1.0× 12 1.5k
Brian Maitner United States 22 664 1.0× 836 1.5× 605 1.1× 551 1.6× 460 1.9× 46 1.7k
José C. Carvalho Portugal 13 488 0.7× 580 1.0× 370 0.7× 383 1.1× 152 0.6× 19 1.1k
Frank T. Breiner Switzerland 11 773 1.1× 604 1.1× 1.2k 2.2× 503 1.5× 234 1.0× 12 1.6k
Thomas Evans United Kingdom 13 609 0.9× 512 0.9× 261 0.5× 283 0.8× 206 0.8× 30 1.1k
Charles J. Marsh United Kingdom 16 520 0.8× 367 0.6× 259 0.5× 234 0.7× 251 1.0× 28 1.1k
Liliana Ballesteros‐Mejia France 20 588 0.8× 495 0.9× 448 0.8× 528 1.6× 198 0.8× 37 1.3k

Countries citing papers authored by Gleb Tikhonov

Since Specialization
Citations

This map shows the geographic impact of Gleb Tikhonov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gleb Tikhonov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gleb Tikhonov more than expected).

Fields of papers citing papers by Gleb Tikhonov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gleb Tikhonov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gleb Tikhonov. The network helps show where Gleb Tikhonov may publish in the future.

Co-authorship network of co-authors of Gleb Tikhonov

This figure shows the co-authorship network connecting the top 25 collaborators of Gleb Tikhonov. A scholar is included among the top collaborators of Gleb Tikhonov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gleb Tikhonov. Gleb Tikhonov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Ovaskainen, Otso, Brendan Furneaux, Janne Purhonen, et al.. (2025). Wind Is a Primary Driver of Fungal Dispersal Across a Mainland‐Island System. Molecular Ecology. 34(5). e17675–e17675.
2.
Rahman, Anis Ur, Gleb Tikhonov, Jari Oksanen, Tuomas Rossi, & Otso Ovaskainen. (2024). Accelerating joint species distribution modelling with Hmsc-HPC by GPU porting. PLoS Computational Biology. 20(9). e1011914–e1011914. 2 indexed citations
3.
Ovaskainen, Otso, Ossi Nokelainen, Anis Ur Rahman, et al.. (2024). Prototype Biodiversity Digital Twin: Real-time bird monitoring with citizen-science data. SHILAP Revista de lepidopterología. 10. 5 indexed citations
4.
Tikhonov, Gleb, et al.. (2023). Learning conditional variational autoencoders with missing covariates. Pattern Recognition. 147. 110113–110113. 12 indexed citations
6.
Tikhonov, Gleb, et al.. (2021). Hierarchical Model of Species Communities [R package Hmsc version 3.0-11]. 4 indexed citations
7.
Abrego, Nerea, Tea Huotari, Ayco J. M. Tack, et al.. (2020). Higher host plant specialization of root‐associated endophytes than mycorrhizal fungi along an arctic elevational gradient. Ecology and Evolution. 10(16). 8989–9002. 16 indexed citations
8.
Opedal, Øystein H., Mikael von Numers, Gleb Tikhonov, & Otso Ovaskainen. (2020). Refining predictions of metacommunity dynamics by modeling species non‐independence. Ecology. 101(8). e03067–e03067. 6 indexed citations
9.
Abrego, Nerea, Tomas Roslin, Tea Huotari, et al.. (2020). Accounting for environmental variation in co‐occurrence modelling reveals the importance of positive interactions in root‐associated fungal communities. Molecular Ecology. 29(14). 2736–2746. 37 indexed citations
10.
Ovaskainen, Otso, Danielle Leal Ramos, Eleanor M. Slade, et al.. (2019). Joint species movement modeling: how do traits influence movements?. Ecology. 100(4). e02622–e02622. 19 indexed citations
11.
Tikhonov, Gleb, Nerea Abrego, Graeme Newell, et al.. (2019). Computationally efficient joint species distribution modeling of big spatial data. Ecology. 101(2). e02929–e02929. 58 indexed citations
12.
Tikhonov, Gleb, et al.. (2019). Empirical typology of injured athletes: psychological resources and risks. SHILAP Revista de lepidopterología. 3. 72–80.
13.
Minard, Guillaume, Gleb Tikhonov, Otso Ovaskainen, & Marjo Saastamoinen. (2019). The microbiome of the Melitaea cinxia butterfly shows marked variation but is only little explained by the traits of the butterfly or its host plant. Environmental Microbiology. 21(11). 4253–4269. 20 indexed citations
14.
Tikhonov, Gleb, Øystein H. Opedal, Nerea Abrego, et al.. (2019). Joint species distribution modelling with ther‐package Hmsc. Methods in Ecology and Evolution. 11(3). 442–447. 320 indexed citations breakdown →
15.
Tikhonov, Gleb, et al.. (2019). hmsc-r/HMSC v3.0-5. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
16.
Tikhonov, Gleb, Nerea Abrego, David B. Dunson, & Otso Ovaskainen. (2017). Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context. Methods in Ecology and Evolution. 8(4). 443–452. 117 indexed citations
17.
Ovaskainen, Otso, Gleb Tikhonov, Anna Norberg, et al.. (2017). How to make more out of community data? A conceptual framework and its implementation as models and software. Ecology Letters. 20(5). 561–576. 636 indexed citations breakdown →
18.
Ovaskainen, Otso, Gleb Tikhonov, David B. Dunson, et al.. (2017). How are species interactions structured in species-rich communities? A new method for analysing time-series data. Proceedings of the Royal Society B Biological Sciences. 284(1855). 20170768–20170768. 76 indexed citations
19.
Тихонова, Елена, et al.. (2017). Tree diversity patterns along the latitudinal gradient in the northwestern Russia. Forest Ecosystems. 4(1). 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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